Projects per year
Virtual Reality (VR) has often been discussed as a promising medium for immersive data visualization and exploration. However, few studies have evaluated users’ open-ended exploration of multi-dimensional datasets using VR and compared the results with that of traditional (2D) visualizations. Using a workload- and insight-based evaluation methodology, we conducted a user study to perform such a comparison. We find that there is no overall task-workload di↵erence between traditional visualizations and visualizations in VR, but there are di↵erences in the accuracy and depth of insights that users gain. Our results also suggest that users feel more satisfied and successful when using VR data exploration tools, thus demonstrating the potential of VR as an engaging medium for visual data analytics.
|Title of host publication||CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems|
|Publisher||Association for Computing Machinery|
|ISBN (Electronic)||9781450356206, 9781450356213|
|Publication status||Published - 21 Apr 2018|
- Data Dashboards
- Data Visualization
- Virtual Reality
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
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- 1 Finished
Johnson, P., Jones, S., Payne, S. & Watts, L.
1/06/13 → 31/07/18
Project: Research council